We apply an explainable artificial intelligence framework to interpret quality of transmission predictions produced by a machine learning model. The framework identifies the combinations of features' values relevant to drive the prediction process.
Quantifying Features' Contribution for ML-based Quality-of-Transmission Estimation using Explainable AI
Troia S.;
2022-01-01
Abstract
We apply an explainable artificial intelligence framework to interpret quality of transmission predictions produced by a machine learning model. The framework identifies the combinations of features' values relevant to drive the prediction process.File in questo prodotto:
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